Now showing items 1-4 of 4

    • Big linked cancer data: Integrating linked TCGA and PubMed 

      Saleem, M; Kamdar, M; Iqbal, A; Sampath, S; Deus, H; Ngomo, A (Elsevier, 2014-07-07)
      The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
    • Big linked cancer data: Integrating linked TCGA and PubMed 

      Kamdar, Maulik R.; Iqbal, Aftab; Sampath, Shanmuka (Elsevier ScienceDirect, 2014-07-16)
      The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
    • GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

      Kamdar, MR; Iqbal, A; Saleem, M; Deus, HF; Decker, S (ISCB, 2014-02-28)
      Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
    • Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery 

      Hasnain, Ali; Kamdar, Maulik; Deus, Helena; Mehdi, Muntazir; Decker, Stefan (Springer, 2014)
      The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As ...